OriginTrail

Is OriginTrail (TRAC) Halal? A CoinStudy HCS Analysis

OriginTrail was founded in 2017 with a straightforward and genuinely important mission: to make supply chain data verifiable and trustworthy. When a consumer buys food labeled organic, when a hospital receives medication claiming pharmaceutical-grade purity, when a retailer accepts a shipment claiming fair-trade sourcing, the only way to trust these claims is if the underlying data infrastructure tracking the product's journey is genuinely tamper-resistant and auditable.

OriginTrail built a Decentralized Knowledge Graph to solve this problem. Today the DKG serves Walmart, Target, the British Standards Institution, Swiss Federal Railways, the World Federation of Hemophilia, and multiple EU Commission programs. The SCAN platform, which audits supply chains for major retailers, uses OriginTrail's DKG to track over 30,000 factories according to CoinMarketCap research.

In 2026 the project has expanded from supply chain provenance into a broader vision of verifiable knowledge infrastructure for AI, with DKG V8 mainnet live, knowledge mining active, delegated TRAC staking enabled, and the Metcalfe phase pursuing substantial scaling of Knowledge Asset creation.

The compliance question for TRAC is whether its token economic model, specifically the fee-for-service mechanism where publishers pay TRAC for knowledge publishing and node operators earn TRAC for genuine computational services, is permissible under Islamic commercial law. The answer is yes, with specific and honest qualifications documented below.

Quick Verdict: TRAC Is Halal ✅

TRAC scores 90 out of 100 Halal. All five Layer 1 red-line checks pass at the Level 1 and Level 2 protocol assessment scope. The core token mechanism is a clean fee-for-service model with no lending relationship, no predetermined interest income, and no gambling mechanism.

The 90 score reflects a project with genuinely strong compliance characteristics: permissible underlying business activities, no Riba mechanism in the core protocol, clean Maysir result, documented enterprise adoption, and a fixed supply with no inflation. The deductions reflect specific and honest concerns about adoption scale uncertainty, staking reward funding documentation completeness, and governance documentation depth, not about the core mechanism's permissibility.

What Is OriginTrail in 2026?

OriginTrail is a blockchain protocol providing Decentralized Knowledge Graph infrastructure for verifiable data sharing across supply chains, enterprise systems, and AI applications. It was founded in 2017 by Žiga Drev, Tomaž Levak, and Branimir Rakić and launched the TRAC token in 2018 as an ERC-20 on Ethereum with a fixed supply of 500 million tokens.

The DKG is a distributed database organized as a knowledge graph, allowing organizations to publish, link, and verify data while preserving ownership. Each unit of data is a Knowledge Asset, a verifiable data object published on the DKG with a unique identifier. Publishers pay TRAC to publish and maintain Knowledge Assets. Node operators stake TRAC as collateral and earn TRAC fees for hosting, indexing, and providing retrieval services.

OriginTrail operates on two distinct layers. The OriginTrail DKG is the Layer 2 knowledge graph infrastructure powered by TRAC. NeuroWeb is the Layer 1 blockchain hub built as a Polkadot parachain powered separately by NEURO tokens. This analysis covers TRAC and the DKG layer only.

According to CoinMarketCap research, TRAC has a market cap of approximately $219.67 million with a fixed supply of 500 million tokens, all in circulation, and no planned inflation.

The 2026 Developments: Complete Analysis

DKG V8.1.0 Mainnet Launch: June 2025

According to OriginTrail's official documentation, DKG V8.1.0 mainnet launched June 23 to 26, 2025. This major upgrade unlocked TRAC staking rewards and introduced the Random Sampling Proof-of-Knowledge system for node verification. V8.1.0 introduced the DKG Sync feature allowing Core Nodes to synchronize with the full DKG state and simplified the staking system by fully deprecating the Node Share tokens used in DKG V6 in favor of native V8 infrastructure.

DKG Edge Node Introduction

DKG V8 introduced the Edge Node enabling individuals to run DKG-enabled trusted AI on their own devices including phones and laptops. According to OriginTrail's documentation, the DKG V8 Edge Node prototype demonstrated scale capabilities over 400 times greater than DKG V6. An incentivized testnet program rewards Edge Node participants with TRAC tokens.

Metcalfe Phase and Knowledge Mining

The Metcalfe phase of OriginTrail's roadmap targets substantial expansion of Knowledge Assets on the DKG to support what the project describes as a verifiable internet for AI. Knowledge mining rewards TRAC tokens for publishing verified Knowledge Assets. The Convergence stage that follows envisions autonomous knowledge mining where AI agents perform knowledge inferencing on the DKG.

Multichain TRAC Staking

According to available research, the OriginTrail ecosystem has implemented multichain TRAC staking, expanding staking capabilities beyond a single blockchain network.

Enterprise Partnership Activity

The SCAN platform using OriginTrail's DKG continues to audit over 30,000 factories for major retailers including Walmart and Target according to CoinMarketCap research. The British Standards Institution, Swiss Federal Railways, World Federation of Hemophilia, Oracle, and Microsoft Entrepreneurship for Positive Impact partnerships continue to be documented by the project.

The Core Mechanism: Why TRAC Passes the Riba Analysis

The most important compliance question for TRAC is whether the staking reward mechanism constitutes Riba or a permissible fee-for-service arrangement. This distinction is the difference between a clean Halal classification and a red-line failure, and CoinStudy addresses it with precision.

In Kamino Finance, lenders hold a protocol-defined and programmatically enforceable entitlement to excess over the principal they deposit, paid by borrowers who return more than they received. This is a lending relationship where the entitlement to excess is embedded in the protocol mechanism regardless of whether the rate is fixed or variable. That structure is Riba.

In OriginTrail, node operators stake TRAC as collateral to participate in the network. They earn TRAC fees by providing genuine computational services: storing Knowledge Assets, indexing data for discoverability, providing retrieval services to publishers, and submitting cryptographic proofs of data storage through the Random Sampling Proof-of-Knowledge system. According to OriginTrail's official documentation, node rewards are utility-based and paid by knowledge publishers to cover DKG service fees. The reward amount depends on actual DKG usage, the node's contribution to the network, and the node's performance score.

The staked TRAC functions as a performance bond or security deposit ensuring the node operator's commitment to service quality, not as capital lent to a borrower at interest. The economic pathway is: publisher needs data stored and verified, node operator provides genuine storage and verification services, publisher pays TRAC fee for those services, node operator receives fee income for genuine work. This is a fee-for-service arrangement consistent with the Ijarah service contract framework in Islamic commercial law.

Available documentation supports this characterization. CoinStudy does not assert that staking rewards are definitively and exclusively funded from publisher service fees to the exclusion of all other possible mechanisms, because the complete reward funding pathway has not been exhaustively documented in publicly available sources. The 1-point Financial Exposure deduction reflects this specific limitation. However, based on available documentation, the mechanism is treated as fee-for-service rather than as a lending relationship generating interest.

Applying AAOIFI Principles to TRAC

CoinStudy applies principles relevant to AAOIFI Sharia Standards using the framing principles relevant to rather than asserting direct standard applicability.

The principles relevant to AAOIFI Sharia Standard 18 on Ijarah provide a framework for the node operator service relationship at Level 2. Node operators provide genuine computational services including data storage, indexing, retrieval, and proof submission in exchange for TRAC service fees paid by publishers. The economic structure is analogous to an Ijarah service contract where the ajir provides labor and service and the mustajir pays an agreed fee.

The fixed supply of 500 million TRAC with no inflation and no new token creation is consistent with the Islamic finance principle that money should not be created from money.

Islamic Finance Analysis

Financial Exposure Risk:

The Financial Exposure Risk score of 24 out of 25 reflects TRAC's clean Level 1 and Level 2 protocol revenue structure alongside one specific documentation concern. This is a 1-point minor concern deduction.

TRAC's core Level 1 and Level 2 economic model earns fees through two specific mechanisms. The first is direct service fees: publishers pay TRAC to publish and maintain Knowledge Assets on the DKG. The second is node staking service fees: node operators stake TRAC as collateral, provide genuine storage, indexing, retrieval, and proof services, and earn TRAC fees from publishers for those services. Available documentation indicates that these rewards are utility-based and tied to genuine service provision rather than to capital deployed at interest.

The 1-point minor deduction reflects that the complete reward funding and calculation methodology is not exhaustively documented in publicly available sources, preventing a completely definitive characterization of every possible staking arrangement. This is a documentation quality concern rather than a documented Riba concern.

Gharar:

The Gharar score of 13 out of 15 reflects OriginTrail's technically documented and open-source infrastructure alongside a specific operational uncertainty concern. This is a 2-point moderate concern deduction.

The DKG protocol is open-source with publicly available code, documentation, and node software. Enterprise partnerships with documented institutions including the British Standards Institution, Walmart via SCAN, Swiss Federal Railways, and World Federation of Hemophilia provide genuine adoption certainty anchors. The V8.1.0 mainnet launch confirms ongoing active development.

The 2-point moderate deduction reflects adoption scale uncertainty assessed through the expanded HCS operational uncertainty framework rather than as a classical contractual Gharar finding. The ambitious scaling target creates a significant scaling requirement, while the currently documented Knowledge Asset count and corresponding network activity are not sufficiently transparent to independently assess how close the network is to the scale required for sustainable long-term node economics. Muslim investors cannot fully assess from publicly available information whether current adoption levels are sufficient to support robust node operator participation economics over the long term. This is the primary and sole Gharar concern. The future autonomous AI agent roadmap is monitored as a future development but does not produce a separate Gharar deduction because it is not yet an uncertainty embedded in the current transaction environment.

Maysir:

The Maysir score of 15 out of 15 is a clean score at the Level 1 and Level 2 protocol scope. TRAC's core protocol contains no wagering, gambling, or chance-based zero-sum wealth transfer mechanism. The service fee model, knowledge publishing mechanism, and node staking reward system are all genuine economic arrangements. Knowledge mining rewards for verified knowledge creation are closer to productive intellectual labor rewards than to gambling outcomes.

Underlying Business Activity:

The Underlying Business Activity score of 15 out of 15 is a clean score reflecting OriginTrail's currently conducted permissible economic activities.

UBA asks whether the underlying activities the protocol currently enables are permissible. Supply chain provenance verification, enterprise data integrity, knowledge graph infrastructure for AI systems, and verifiable data publishing are all permissible economic activities under Islamic commercial law frameworks that recognize digital assets as Mal. The specific activities documented as currently operational, including factory auditing for major retailers, healthcare data verification for the World Federation of Hemophilia, and infrastructure for regulatory compliance, demonstrate genuine human welfare applications.

The future autonomous AI agent knowledge mining roadmap in the Convergence stage is acknowledged as a topic for future monitoring as these capabilities develop. It does not reduce the current UBA score because it is not yet the current underlying business activity and because the permissibility question about AI agent autonomous activity is a novel future question rather than a current compliance finding about existing operations.

Utility and Real Use:

The Utility and Real Use score of 8 out of 10 reflects OriginTrail's documented genuine enterprise adoption alongside specific adoption scale transparency concerns. This is a 2-point moderate concern deduction.

The SCAN platform auditing over 30,000 factories for Walmart and Target represents documented genuine adoption at meaningful commercial scale. British Standards Institution, Swiss Federal Railways, and World Federation of Hemophilia partnerships are institutional adoptions confirming the DKG serves genuine enterprise needs. DKG V8.1.0 active on mainnet with knowledge mining and staking operational confirms ongoing network activity.

The 2-point moderate deduction reflects that the currently documented Knowledge Asset count and corresponding network-level activity are not sufficiently transparent in publicly available research to independently assess the robustness of the network's current economic health. This is a distinct question from the Gharar dimension's assessment of future sustainability: Utility asks what is demonstrated right now, and that demonstration is partially obscured by the lack of comprehensive public network statistics beyond the partnership-level evidence.

Tokenomics Fairness:

The Tokenomics Fairness score of 9 out of 10 reflects TRAC's genuinely positive tokenomics design alongside one precautionary deduction for incomplete documentation. This is a 1-point minor deduction.

The fixed total supply of 500 million TRAC with zero inflation is an exceptionally positive tokenomics design. No new TRAC is created as monetary policy. All 500 million tokens are in circulation with no further unlock schedule creating future dilutive selling pressure. The fee-for-service economic model means value accrual is tied to genuine adoption rather than to token emission.

The critical methodological point is that unknown allocation does not mean unfair allocation. CoinStudy does not apply a Tokenomics Fairness deduction for a documented problematic allocation structure because no such documentation exists in available research. The available research does not reveal evidence of problematic insider concentration, excessive team allocations with dilutive unlock consequences, or distributional harm to public participants of the kind documented in the Axie Infinity or Sandbox analyses. The 1-point precautionary minor deduction reflects that comprehensive initial allocation data is not publicly documented, meaning the complete distribution picture cannot be independently verified. The documentation gap is the concern, not demonstrated unfairness. This documentation concern is also separately noted in Transparency and Governance where it more properly belongs.

Transparency and Governance:

The Transparency and Governance score of 6 out of 10 reflects OriginTrail's open-source development and community governance alongside specific governance documentation concerns. This is a 4-point significant concern deduction.

Open-source development with public GitHub repositories, publicly identified founders with documented backgrounds, the non-profit Trace Alliance with over 150 member organizations, and NeuroWeb community governance provide genuine transparency and governance foundations.

The 4-point deduction reflects two specific governance concerns through distinct pathways. The first is development decision-making centralization: despite the community involvement and open-source development, the core protocol direction is driven primarily by Trace Labs, creating a practical governance dependency that reduces genuine community control over protocol evolution even where community participation exists. This is assessed as a governance risk rather than a Shariah violation: centralized development is not inherently impermissible but it does represent a governance quality concern under AAOIFI-relevant governance principles. The second is documentation depth: comprehensive information about governance decision-making processes, voting mechanisms, proposal thresholds, accountability structures, and initial token allocation is not fully documented in publicly available sources at the depth that more mature governance protocols provide. The allocation documentation gap, noted as a minor issue in Tokenomics Fairness, is the more appropriate home for that specific concern and is reflected here as part of the broader transparency documentation assessment.

Overall HCS Score: 24 + 13 + 15 + 15 + 8 + 9 + 6 = 90 out of 100 : Halal ✅

Anticipated Scholarly Questions: Critical Islamic Finance Review

Scholar Question 1: How does TRAC staking differ from Riba-bearing deposit accounts given that both involve deploying capital and earning income on it?

CoinStudy's response: The critical distinction is the economic pathway through which income is generated. In a Riba-bearing deposit account or DeFi lending protocol, the depositor holds a contractual entitlement to excess over the principal they deposit, paid by borrowers who return more than they received. In TRAC node staking, the node operator stakes TRAC as a performance bond demonstrating commitment to the network and then earns TRAC fees by providing genuine computational services including data storage, indexing, retrieval, and cryptographic proof submission. The staked TRAC is not lent to anyone: it remains the node operator's asset throughout and functions as security collateral for service quality rather than as capital generating interest income. Available documentation supports characterizing the mechanism as fee-for-service. CoinStudy notes that the complete reward funding pathway should be independently verified by Muslim investors considering node operation, as this documentation is not exhaustively available in public sources.

Scholar Question 2: Is publishing Knowledge Assets permissible given that it involves paying TRAC fees that may include data about various industries?

CoinStudy's response: The permissibility of publishing specific Knowledge Assets depends on the content being published rather than on the publishing mechanism itself. The DKG is neutral infrastructure. Publishing a Knowledge Asset representing supply chain provenance for halal food products is clearly permissible. Publishing a Knowledge Asset representing data about a prohibited industry would raise the same permissibility concerns as participating in that industry through any other means. The TRAC payment mechanism for publishing is itself a clean fee-for-service arrangement. Muslim investors and enterprises using the DKG should ensure that the specific data they publish represents genuinely permissible economic activity.

Scholar Question 3: Does the knowledge mining reward mechanism approach Maysir given competitive elements in identifying knowledge gaps?

CoinStudy's response: Knowledge mining rewards incentivize the publication of verified, valuable knowledge to the DKG. The reward is for genuine knowledge creation and verification activity rather than for a chance-based outcome. A knowledge miner who successfully identifies a genuine knowledge gap and publishes a verified Knowledge Asset earns a reward for their intellectual contribution rather than for winning a random chance event. This is closer to productive intellectual labor compensation than to gambling. CoinStudy monitors the Convergence stage autonomous knowledge mining roadmap for future scholarly assessment as AI agent economic activity on the DKG evolves, but this future roadmap concern does not change the assessment of current knowledge mining activity.

Scholar Question 4: How should Muslim investors assess the relationship between TRAC and NEURO?

CoinStudy's response: TRAC and NEURO are two distinct token objects serving two distinct functions within two distinct protocol layers. TRAC powers the OriginTrail DKG layer and is used for knowledge publishing fees, node staking collateral, and service fee rewards. NEURO powers the NeuroWeb Layer 1 blockchain and is used for its own specific network functions. CoinStudy's analysis covers TRAC only. Muslim investors interested in NEURO should treat it as a separate and distinct asset requiring its own independent HCS assessment rather than assuming TRAC's classification automatically extends to NEURO.

CoinStudy HCS Screening Results

Layer 1: Sharia Red Line Screening

Ecosystem Riba Exposure: ✅ Passed. TRAC's core Level 1 and Level 2 economic model is a fee-for-service mechanism. Publishers pay TRAC for Knowledge Asset publishing. Node operators earn TRAC service fees for genuine computational services. Available documentation indicates no lending relationship and no entitlement to excess over principal in the core protocol.

Gambling and Betting: ✅ Passed at Level 1 and Level 2. No wagering mechanism in the core protocol design.

Haram Industry: ✅ Passed at Level 1 and Level 2. Verifiable data infrastructure for supply chain provenance, enterprise knowledge management, and AI knowledge verification is permissible economic infrastructure.

Guaranteed / Contractual Interest Return: ✅ Passed. TRAC staking rewards are service fees paid by publishers for genuine computational services rather than a protocol-defined entitlement to excess over staked principal based on available documentation.

Synthetic Interest Products: ✅ Passed at Level 1 and Level 2.

All five Layer 1 red-line checks pass.

Layer 2: HCS Score Breakdown

On Financial Exposure Risk, weighted at 25%, TRAC scores 24 out of 25. One-point minor concern deduction for the documentation limitation: the complete reward funding and calculation methodology is not exhaustively documented in publicly available sources. Core mechanism treated as fee-for-service based on available documentation. No lending relationship and no entitlement to excess over principal documented.

On Gharar, weighted at 15%, TRAC scores 13 out of 15. Two-point moderate concern deduction for adoption scale uncertainty: the currently documented Knowledge Asset count and network activity are not sufficiently transparent to independently assess whether current adoption levels support sustainable node economics. Assessed through the expanded HCS operational uncertainty framework rather than as classical contractual Gharar. The future autonomous AI agent roadmap does not produce a separate Gharar deduction.

On Maysir, weighted at 15%, TRAC scores 15 out of 15. No wagering mechanism in core protocol. Knowledge mining assessed as productive intellectual labor reward not chance-based gambling.

On Underlying Business Activity, weighted at 15%, TRAC scores 15 out of 15. Clean score. Supply chain provenance, enterprise data verification, knowledge graph infrastructure, and AI knowledge infrastructure are all permissible economic activities currently conducted. The future autonomous AI agent roadmap does not reduce this score because it is not yet the current underlying business activity.

On Utility and Real Use, weighted at 10%, TRAC scores 8 out of 10. Two-point moderate concern deduction for insufficient public documentation of current network-level activity statistics to independently assess adoption robustness beyond partnership-level evidence. Genuine documented enterprise adoption confirmed: SCAN auditing 30,000-plus factories for Walmart and Target, British Standards Institution, Swiss Federal Railways, World Federation of Hemophilia, and EU Commission partnerships. DKG V8.1.0 active on mainnet.

On Tokenomics Fairness, weighted at 10%, TRAC scores 9 out of 10. One-point precautionary minor deduction for incomplete documentation of initial token allocation, not for demonstrated unfairness. Available evidence shows positive design: fixed supply 500 million, zero inflation, all tokens in circulation, no future unlock selling pressure. No documented evidence of problematic insider concentration or distributional harm to public participants found in available research. Unknown does not mean unfair.

On Transparency and Governance, weighted at 10%, TRAC scores 6 out of 10. Four-point significant concern deduction through two distinct pathways: practical development centralization in Trace Labs creating governance dependency despite open-source and community governance structures, and documentation depth insufficient for comprehensive assessment of governance decision-making processes, voting mechanisms, and initial token allocation completeness.

Overall HCS Score: 24 + 13 + 15 + 15 + 8 + 9 + 6 = 90 out of 100 : Halal ✅

What Is Permissible and What Is Haram

Halal at the Level 1 and Level 2 protocol level:

Holding TRAC on a spot basis as a utility token for DKG access = Halal ✅

Buying and selling TRAC on spot markets = Halal ✅

Paying TRAC to publish Knowledge Assets representing permissible economic data on the DKG = Halal ✅ the publishing mechanism is a clean fee-for-service arrangement

Operating a DKG Core Node with staked TRAC and earning service fees for genuine storage, indexing, retrieval, and proof services = Halal ✅ fee-for-service income for genuine computational work. Muslim investors should independently verify the complete reward funding mechanism before operating nodes given the documentation limitations noted above.

Delegating TRAC to node operators through the delegated staking system = Halal ✅ participation in service fee income from genuine computational services. Muslim investors should review specific node operator terms and the OriginTrail DKG staking documentation before delegating.

Participating in knowledge mining by publishing verified Knowledge Assets = Halal ✅ reward for genuine productive knowledge creation activity

Using the DKG to query and retrieve Knowledge Assets = Halal ✅

Requires individual assessment:

Publishing Knowledge Assets representing data from industries with potential compliance concerns = Requires individual assessment ⚠️ the DKG infrastructure is neutral but the content of specific Knowledge Assets must represent permissible economic activity

Participating in future Convergence stage autonomous AI agent knowledge mining = Requires individual scholarly assessment ⚠️ this capability is in the future roadmap and raises novel Shariah questions requiring assessment as the technology develops

Haram based on specific prohibited mechanisms:

TRAC perpetual futures or leveraged derivative products = Haram ❌ such products require assessment based on their own contractual structure including leverage, funding arrangements, settlement, and speculative characteristics. Where prohibited derivative mechanisms are present the product is non-compliant. The classification does not rest solely on TRAC's own permissibility.

Participating in any gambling or wagering applications deployed on DKG infrastructure using TRAC = Haram ❌

Important Questions for Muslim Investors

Do I understand that TRAC's 90 out of 100 Halal score rests on its fee-for-service token economic model where node operators earn service fees for genuine computational work rather than holding an entitlement to interest on deployed capital, and that this fundamental distinction from Riba-bearing lending protocols is the basis for the clean Layer 1 pass, while noting that the complete reward funding methodology should be independently verified? Do I understand that the Tokenomics Fairness score of 9 out of 10 reflects the absence of documented unfairness rather than confirmed fairness, and that unknown allocation data does not constitute demonstrated unfairness? Am I aware that TRAC and NEURO are two distinct token objects and that CoinStudy's Halal classification covers TRAC only? Do I understand that the content of specific Knowledge Assets I publish or interact with on the DKG must represent permissible economic activity regardless of the DKG infrastructure's own permissibility?

Final Verdict

OriginTrail (TRAC) is classified as Halal under the CoinStudy Halal Crypto Standard with a score of 90 out of 100.

All five Layer 1 red-line checks pass. TRAC's core token economic model is a fee-for-service mechanism: publishers pay TRAC for genuine Knowledge Asset publishing services, and node operators earn TRAC service fees for genuine computational work. Available documentation supports characterizing this as a fee-for-service arrangement rather than a lending relationship generating interest. The staked TRAC functions as security collateral supporting genuine service provision rather than as capital lent for predetermined excess. This structural distinction from Riba-bearing protocols is clear and defensible.

The 90 score reflects a project with strong compliance characteristics across all seven HCS dimensions. The deductions are minor to moderate and rest on specific documented concerns: reward funding documentation completeness, adoption scale transparency, governance documentation depth, and the absence of comprehensive initial allocation data. None of these deductions arise from documented Riba, Gharar, Maysir, or Haram Industry concerns at the mechanism level.

The underlying business activities of supply chain provenance verification, enterprise data integrity, knowledge graph infrastructure, and verifiable AI knowledge infrastructure achieve a clean 15 out of 15 in the UBA dimension, confirming that what OriginTrail currently does is permissible economic activity serving genuine human welfare purposes.

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Disclaimer: This analysis is provided for educational and research purposes only based on guidance from CoinStudy's HCS Shariah Board. The 90 out of 100 Halal classification applies to TRAC at Levels 1 and 2 as documented in the activity matrix. NEURO is a separate token requiring independent HCS assessment. The permissibility of specific Knowledge Asset content depends on the economic activity it represents. Node staking participants should independently verify the complete reward funding mechanism given the documentation limitations noted. CoinStudy does not issue personal fatwas or financial advice. Please consult a qualified Islamic scholar for individual guidance.